Autonomous Systems and Ad Hoc Networks (ICASAHN-26)

This track focuses on the latest developments in autonomous systems, emphasizing their design, implementation, and real-world applications. Researchers are encouraged to present innovative solutions that enhance the functionality and efficiency of autonomous technologies.

This session aims to explore the design and optimization of network protocols specifically tailored for ad hoc networks. Contributions should address challenges such as scalability, reliability, and energy efficiency in dynamic network environments.

This track invites papers that investigate the unique challenges faced by mobile ad hoc networks, including mobility management and routing protocols. Solutions that enhance network performance and user experience in mobile contexts are particularly welcome.

This session will delve into the principles and practices of distributed networking architectures, focusing on their scalability and resilience. Papers should highlight innovative approaches to managing distributed resources and optimizing network performance.

This track examines the integration of Internet of Things (IoT) technologies within networking frameworks. Researchers are invited to discuss novel architectures, protocols, and applications that facilitate seamless IoT connectivity and interoperability.

This session focuses on the design, deployment, and application of sensor networks in various domains. Contributions should highlight advancements in sensor technologies, data processing, and network management techniques.

This track explores the role of embedded systems in enhancing networking capabilities. Papers should address the integration of embedded technologies with networking protocols and their impact on system performance and efficiency.

This session invites contributions that propose novel techniques for optimizing network performance across various architectures. Topics may include traffic management, resource allocation, and quality of service enhancements.

This track focuses on the application of artificial intelligence and machine learning in networking. Researchers are encouraged to present intelligent solutions that improve network management, security, and performance.

This session explores the intersection of communication engineering and autonomous systems, emphasizing the design of robust communication protocols. Contributions should address challenges such as latency, bandwidth management, and reliability in autonomous environments.

This track examines the role of edge computing in enhancing network performance and reducing latency. Papers should discuss innovative edge computing architectures and their implications for real-time data processing and application deployment.